Riga Technical University

Partner and Partnership in Society: Basic Elements and Structural Functional Models

The relevance of the study is related to the importance of partnerships in meeting needs and their role in ensuring socio-economic, political, and security stability. In modern conditions, the level of partnership formation in several socially significant areas is still insuffici...

Residual Solvent Effects on the Mechanical and Triboelectric Properties of Solution-Processed Polymer Films

Abstract Residual solvents are an often-overlooked factor that may influence the triboelectric performance of solution-processed polymer films. Here, the effect of solvent evaporation dynamics on triboelectric charging was investigated using poly(vinylidene fluoride) (PVDF)/N,N-d...

Optimizing Volatile Matter and Ash Content in Environmentally Friendlier Firelighters Based on Wood Residues and Wax Matrices

Global agricultural and forestry processing industries generate vast quantities of bio-based residuals and organic side products annually, prompting a critical need for sustainable material repurposing. This study investigates the thermal performance of environmentally friendly,...

Liquid‐Metal Interfacial Chemistry for Crystal and Defect Engineering in Two‐Dimensional Post‐Transition‐Metal Materials

ABSTRACT Liquid‐metal‐derived 2D materials have emerged as a versatile class of ultrathin systems enabled by dynamic and chemically active liquid metal interfaces. The atomically smooth, self‐limiting surface layers formed at these interfaces provide unique pathways for the synth...

Polyphenol Content and Antioxidant Potential of Rhubarb (Rheum Rhabarbarum) STEM By-products Depending on Solvent Polarity and Extraction Technique

The aim of the study is to evaluate the effect of solvent polarity and extraction technique on the recovery of antioxidants from rhubarb (Rheum rhabarbarum) by-products with single-step – maceration, and ultrasound assisted extraction, and two-step extraction methods - Soxhlet ex...

Comparative analysis of AI models for cost prediction and feature importance in construction

Purpose The construction industry has always been plagued by a high number of uncertainties; due to this, cost overruns are the most frequent challenge. To address this problem, this study aims to determine how the presence of risk increases the likelihood of cost overruns and to...

Experimental Validation of Analytical Dynamic Characteristics of a Slotless Permanent Magnet Synchronous Motor Using a Dedicated Laboratory Test Bench

Slotless permanent magnet synchronous motors are attractive for precision electric-drive applications because eliminating stator slots can suppress slotting-related torque disturbances; however, their analytical performance relationships require experimental verification under re...

Probabilistic Characterisation of Service Lifetime of Ageing Infrastructures

Abstract Ageing infrastructures are increasingly exposed to deterioration mechanisms related to time, environmental conditions, and increasing operational demands. Ensuring their safety and serviceability therefore requires continuous monitoring and reliable methods to assess the...

System-Level Validation of Pem Electrolyser Balance of Plant: An Integrated Framework for Functional Performance

Abstract The study presents a system-level validation framework for assessing the functional performance of the balance of plant (BOP) of a proton exchange membrane (PEM) electrolyser. The proposed approach addresses a methodological gap between individual component testing and v...

In Situ TEM Study of the Size-Dependent Solubility of Metals in Liquid Metal Nanodroplets

Abstract Characterizing metal solubilities in post-transition-based liquid metals remains challenging due to their inherent opacity to conventional light-based analytical techniques. In this work, we present an in situ heating methodology within a transmission electron microscope...

Exceptional points, lasing, and coherent perfect absorption in Floquet scattering systems

Abstract Periodically time-varying media, known as photonic time crystals (PTCs), provide a promising platform for observing unconventional wave phenomena. We analyze the scattering of electromagnetic waves from spatially finite PTCs using the multispectral Floquet scattering mat...

War-Driven Transformation of Stationary Air Pollutant and Greenhouse Gas Emissions in Ukraine: Evidence from Official Statistics and Implications for CBAM and the National Emissions Trading System

Ukraine entered the definitive period of the EU Carbon Border Adjustment Mechanism (CBAM) in January 2026 as the largest exporter of CBAM-covered goods to the EU by physical volume, while its industrial base remains under direct wartime pressure. This study provides the first str...

Exploratory Analysis of Hazard Perception in Hazardous Driving Situations: A Virtual Reality Eye-Tracking Study

Driving is a task that demands a range of cognitive processes, both simple and complex. Detecting potential hazards is crucial to reducing traffic accidents. This study examined drivers’ perception of hazardous situations in virtual reality (VR). Fifty-two participants completed...

A&M based fractional delay and Doppler channel estimation in OTFS

Orthogonal time frequency space (OTFS) modulation is a candidate for low-density high-mobility communication (LDHMC) use case in sixth generation (6G) due to its robustness against Doppler effects. This paper presents a low-complexity channel estimation method based on the A&M fr...

Power Systems Transition Simulation Using Artificial Neural Networks and Surrogate Modelling

Transforming energy supply systems is essential for achieving a sustainable, carbon-neutral future. However, this transition substantially increases the complexity of long-term planning due to the large-scale integration of carbon-free energy sources, strong interactions among te...